Instructions to use serhatkurt/ddim-faces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use serhatkurt/ddim-faces with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("serhatkurt/ddim-faces", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit ·
bdee4b1
1
Parent(s): fe22776
Epoch 29
Browse files
logs/train_example/events.out.tfevents.1695835067.3a20e1268949.195.0
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logs/train_example/events.out.tfevents.1695835111.3a20e1268949.195.1
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unet/config.json
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{
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"_class_name": "UNet2DModel",
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"_diffusers_version": "0.11.1",
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"_name_or_path": "/root/.cache/huggingface/diffusers/models--serhatkurt--ddim-faces/snapshots/
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"act_fn": "silu",
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"add_attention": true,
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"attention_head_dim": 8,
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{
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"_class_name": "UNet2DModel",
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"_diffusers_version": "0.11.1",
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"_name_or_path": "/root/.cache/huggingface/diffusers/models--serhatkurt--ddim-faces/snapshots/fe22776d93cb63270906d5ba4b0264d4cf8f803c/unet",
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"act_fn": "silu",
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"add_attention": true,
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"attention_head_dim": 8,
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unet/diffusion_pytorch_model.bin
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